Title : 
An analysis of activities in Facebook
         
        
            Author : 
Nguyen, Khanh ; Tran, Duc A.
         
        
            Author_Institution : 
Dept. of Comput. Sci., Univ. of Massachusetts - Boston, Boston, MA, USA
         
        
        
        
        
        
            Abstract : 
Human dynamics in real-world social networks has been a long lasting topic of research. Recently, the rapid growing of online social networks with their data made accessible has given researchers a door of opportunity to study large-scale social networks. Facebook has been the largest, most influential, and fastest growing social network on the Internet to date. As Facebook´s userbase is extremely diverse, spreading across different countries, races, ages, professions, and interests, to name a few, this network is a good model to study our society. In this paper, we present an analysis of a regional Facebook dataset, with attention given to the correlation among user connectivity, activity, and similarity.
         
        
            Keywords : 
social networking (online); Facebook; Internet; human dynamics; online social networks; real-world social networks; Complex networks; Conferences; Correlation; Erbium; Facebook; Internet;
         
        
        
        
            Conference_Titel : 
Consumer Communications and Networking Conference (CCNC), 2011 IEEE
         
        
            Conference_Location : 
Las Vegas, NV
         
        
            Print_ISBN : 
978-1-4244-8789-9
         
        
        
            DOI : 
10.1109/CCNC.2011.5766497